Track Real-Time Swiggy & Zomato Promotions with Web Scraping API

This case study showcases how iWeb Data Scraping helped a marketing analytics agency monitor promotional trends across Swiggy and Zomato using a customized city-based scraping API. Our tailored solution enabled the client to capture real-time promotional offers segmented by city and cuisine type, empowering restaurants to make informed, data-driven decisions. By extracting structured, reliable, and scalable data—including Swiggy Food Delivery App Dataset and Zomato Food Delivery App Datasets —the client was able to deliver actionable weekly insights to their partners, enhancing campaign performance and competitive intelligence across multiple markets.

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The Client

Our client is a data-driven marketing intelligence firm that supports restaurant chains with insights on competitor pricing, promotions, and regional trends. In the dynamic food delivery space, they needed real-time promotional data from Zomato and Swiggy to deliver strategic guidance to restaurant partners looking to stay competitive.

Client's-Challenge

the Challenge:

The client faced several challenges in tracking promotional campaigns across India’s top food delivery platforms:

  • Manual Tracking Inefficiency: Monitoring discounts and offers across platforms like Zomato and Swiggy was time-consuming and prone to errors.
  • Lack of Granular Visibility: Offers varied by city, time, and cuisine type, making it difficult to analyze trends without structured data.
  • Dynamic Content Structure: Swiggy and Zomato frequently update their UI and promotional formats, complicating consistent data collection.
  • Need for Competitive Benchmarking: The client needed reliable data to compare which platform was offering more aggressive promotions in specific regions.

These challenges demanded a scalable, automated solution that could deliver real-time, city-based promotional intelligence with high accuracy.

The Solutions

To overcome these challenges, iWeb Data Scraping developed a powerful, geo-targeted API-based scraping solution. Key components included:

  • City-Based API Configuration: Our scraping API allowed clients to pull data for specific cities, ensuring localized insights.
  • NLP-Based Promotion Classification: We built filters to identify and categorize promotions (e.g., Flat ₹100 OFF, Free Delivery, BOGO offers).
  • Automated Daily Data Refresh: Cron jobs were scheduled during off-peak hours to minimize load and ensure up-to-date results.
  • Structured Output: Data was delivered in standardized CSV formats, easily integrated into BI dashboards.
  • Cuisine & Time Tagging: Offers were labeled by cuisine and time limits (e.g., Lunch Only, 6–10 PM) for deeper segmentation.
Our-Solutions--Travel-Data-Scraping
Web-Scraping-Advantages

Web Scraping Advantages

  • High Accuracy: Extracts precise promotional details like discounts, conditions, and restaurant names from dynamic platforms, powered by Food Delivery Data Extraction Services.
  • Real-Time Updates: Daily refreshes ensure the most recent offers are captured, enabling quick strategy shifts supported by Food Delivery Data Intelligence Services .
  • Scalability: Supports over 25 Indian cities with flexible load management for large-scale data extraction.
  • Customizable Output: Clean, structured data compatible with analytics dashboards and reporting tools.
  • Actionable Insights: Enables strategic decision-making around pricing, promotions, and campaign planning.

Final outcome

Our real-time scraping solution delivered measurable impact:

  • +15% Increase in Campaign ROI: Restaurants adjusted their discounts based on real-time competitor trends.
  • +12% Customer Retention: Tailored promotions driven by insights led to improved repeat orders.
  • Competitive Benchmarking: The client built regional scorecards comparing Swiggy vs. Zomato promotional activity.
  • 40+ Hours Saved Weekly: Automated data collection and reporting significantly reduced manual tracking time.
  • Smarter Discounting: Restaurant partners began implementing tiered and time-based promotions informed by analytics.
Final-outcome

Client Testimonial

"Partnering with iWeb Data Scraping completely transformed how we deliver insights to our restaurant clients. Their real-time data and city-wise segmentation allowed us to stay ahead of promotional trends and offer competitive intelligence at scale. The structured output and dashboard-ready format saved us dozens of hours every week. Their solution is essential for anyone in the food delivery analytics space."

– Head of Product Strategy, Marketing Intelligence Firm

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